Graduate Data Engineer
Description -
Mission
In the Go To Market Analytics Centre of Excellence, our mission is to deliver impact by building machine learning products that optimize pricing and marketing investments and provide guidance to our sales organization. The products we are building are of high value to the company, with the ambition to influence pricing decisions and marketing investments for HP products globally and across all distribution channels, utilizing advanced analytics, machine learning, and AI.
To achieve this, we are looking for a Graduate Data Engineer to help implement best engineering practices and transform data from a raw resource into structured, scalable, high-quality, and compliant fuel powering our AI-driven products and solutions.
This role is designed for recent graduates looking to launch their careers in data engineering while developing hands-on experience in a highly innovative and collaborative environment.
What makes us stand out
Best-in-class technologies.
Diverse learning and development opportunities.
Super collaborative environment and international experience.
Responsibilities
Contribute as part of a cross-functional team to the design and development of secure, scalable, and high-performing data systems and solutions, including data ingestion, transformation, testing, and integration of structured and unstructured data.
Collaborate with business stakeholders and technical teams to understand requirements and deliver data-driven solutions.
Support operational excellence initiatives focused on reliability, quality, automation, and continuous improvement.
Help ensure compliance with data governance, privacy, security, and quality standards.
Participate in the evaluation and adoption of new technologies, tools, and engineering best practices.
What we are looking for
Bachelor's or Master's degree in Data Engineering, Computer Science, Information Systems, or a related field, obtained within the last 12 months.
Hands-on experience with data engineering concepts and technologies such as Python, SQL, Databricks, Apache Spark, cloud platforms (AWS, Azure, or GCP), gained through academic projects, internships, research, or personal initiatives.
Understanding of data systems, software development best practices, version control (Git), testing, and Agile ways of working.
Relevant internship, co-op, or project experience in data engineering, analytics, software engineering, machine learning, or related fields is a strong advantage.
Strong analytical and problem-solving skills, with a proactive mindset, curiosity to learn, and ability to work effectively in a collaborative environment.
Fast learner with a can-do attitude, strong sense of ownership, and passion for leveraging data and technology to solve business challenges.
What we offer
Inclusion & belonging at the core: Join our global employee networks such as Women, Pride, Inclusion, NextGen, Sustainability & DisAbility , with opportunities to get involved locally.
Onsite medical services: Doctor and medical team available for annual checkups, nutrition, oral hygiene, physiotherapy, and general health.
Women Network initiatives: Networking events, STEM promotion, business acumen talks, work–life balance sessions, and future skills development.
Entity: Sales & Services
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (Spain)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
